Estimation of direct effects for survival data by using the Aalen additive hazards model

60 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Counterfactual analyses with graphical models based on local independence (2011, background): “Note, as this general problem is very hard, we do not provide a complete theory for identification of causal effects, only an example which slightly extends [19].”
Structural nested models and G-estimation: the partially realized promise (2014, background): “In continuous time (Martinussen et al. (2011)), such structural nested cumulative failure time models are defined by restrictions of the form: P (T am,0 > t | Lm = lm,Am = am, T ≥ tm) P (T am−1,0 > t | Lm = lm,Am = am, T ≥ tm) = exp{γ∗m(t, lm, am;ψ ∗)}, for all t and m= 0, . . . ,K, where γ∗m(t,…”
Causality, mediation and time: a dynamic viewpoint (2012, background): “Developments of these ideas under certain limiting assumptions have been made by Lange and Hansen (2011), who estimate natural direct and indirect effects, and Martinussen et al. (2011), who estimate controlled direct effects by using G-estimation.”